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 WEBINAR ON DEMAND 

Modernize Your Analytics and Accelerate Your Move to Looker with Confidence

Migrating your Business Intelligence platform to Looker presents a powerful opportunity to modernize your data stack, but it requires careful planning and execution. This webinar provides a strategic roadmap for navigating the complexities of migration, from initial assessment to final rollout. We will focus on turning common challenges into strategic advantages by leveraging proven best practices and automation tools, ensuring you build a scalable and trusted analytics foundation on Looker.

Exploring Elastic AI Observability (Elastic AI OBS)

Updated: Jul 31

Elastic AI Observability (Elastic AI OBS) is a cutting-edge enhancement in the Elastic ecosystem, leveraging AI to deliver actionable insights into metrics, logs, and traces across IT environments. This innovation focuses on simplifying troubleshooting, optimizing system performance, and empowering operations teams with data-driven solutions.

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Key Features of Elastic AI OBS:

  1. AI-Powered Assistance: The Elastic AI Assistant integrates generative AI to provide contextual support for error analysis, troubleshooting, and performance optimization. Its Retrieval-Augmented Generation (RAG) model allows seamless access to relevant resources such as APM traces, log messages, and SLOs.

  2. Enhanced Developer Productivity: Through integrations like GitHub Copilot Extensions, Elastic AI OBS allows developers to query logs, trace errors, and access runbooks directly from their development environments. This integration minimizes context-switching and accelerates issue resolution.

  3. Service Level Objectives (SLOs): Elastic AI OBS introduces advanced SLO features, enabling teams to monitor, maintain, and meet critical service benchmarks effectively.

  4. Mobile APM and OpenTelemetry: Supporting mobile application performance monitoring and OpenTelemetry integration, Elastic AI OBS ensures comprehensive observability across modern architectures.

  5. Scalable Insights: With its ability to unify data from diverse sources and generate predictive insights, Elastic AI OBS is a vital tool for proactive issue management.

    We’ve implemented Elastic AI OBS patterns in real projects - from healthcare to logistics.

Use Cases:

  • Site Reliability Engineers (SREs): Quickly analyze errors and propose remediation steps using automated insights.

  • DevOps Teams: Monitor deployments and detect potential issues in real time, ensuring smoother operations.

  • Developers: Use AI-driven insights to optimize code and reduce system bottlenecks.

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Why Elastic AI OBS Matters:

Elastic AI OBS represents a paradigm shift in observability by combining the power of AI and robust data processing capabilities. This makes it an invaluable asset for organizations striving for agility, operational excellence, and reduced mean time to resolution (MTTR).

To explore Elastic AI OBS further, visit

out its integration with GitHub Copilot here.


Want a deeper look at Elastic-powered AI observability in practice? Download our observability brochure for architecture-ready insights.

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